Calling JavaScript from Streamlit/Python

Streamlit is Python framework, it helps to build UI with low code approach. Code runs on server and there is no functionality, which would allow to inject client side events with JavaScript. Luckily there is a 3rd-party Streamlit component, it allows to make JavaScript calls from server side Python code. Response from such JavaScript call is received within the same Streamlit execution, this makes it possible to use values returned from JavaScript in Python logic. In this example, I show one liner JavaScript call to get UI screen width, to be able to calculate layout structure adjustments in Python, based on the screen size.

 

Building Streamlit/Python Dynamic Forms

Streamlit is great to build Web UIs for data apps. Dynamic UIs are common requirement for data apps. Data structures usually dynamic, set of attributes is changing and this requires dynamic UI. I explain how to generate dynamic forms with Streamlit. It works very smooth.

 

Streamlit/Python Drawable Canvas - Element Selection (React JS)

With Streamlit component you can render canvas and draw. I explain how this canvas component implements object selection and passes data from React canvas to Streamlit.

 

Understanding Streamlit/Python Application Flow

Streamlit re-executes Python script, each time when the request is sent to the server. You should keep this in mind when building Streamlit apps. There are scenarios when you want to make sure code is not executed on subsequent call. You can control this with Streamlit session object.

 

Streamlit/Python Handling Fast Data Entry

I explain how to enable fast data entry in Streamlit with form component. By default, Streamlit input components execute server call on data change. When wrapped by form component, changes are sent to the server in batch, when Save button is pressed.

 

Streamlit Python/React for Image Annotation

Data annotation is important step in ML model training process. With data annotation tool you can build a dataset and use it to train or finetune the model. There are Streamlit components available to draw on top of images using canvas. In this video I explain how to use these components. How to run them locally to be able to add changes based on your own functionality requirements.

 

Streamlit Python App Setup

I explain my experience setting up the new Streamlit app for development. I share several best practices and hints on how to make application code readable and maintainable. I talk about the development process with Streamlit and why it is a good choice to build UI for new products.